Neo4j Blog

Financial fraud is growing and it is a costly problem, estimated at 6% of the Global Domestic Product, more than $5 trillion in 2019. Despite using increasingly sophisticated fraud detection tools – often tapping into AI and machine learning – businesses lose more and more money to... read more

Hi graph gang, In this week’s video, Jans, Niels, and Morgan show how to build a social knowledge graph based on data from collaboration tools that we use at Neo4j. Rik Van Bruggen queries the COVID-19 Contact Tracing Graph, Tomaz Bratanic shows off new features in the Graph... read more

"For overhauling our infrastructure in Cassandra, we went from a 50 terabyte Cassandra dataset to a 50 gigabyte Neo4j dataset and a lot of people are very surprised by that. And that's what attracts the most questions and attention," said David Fox, Senior Software Engineer at Adobe. In this... read more

Two years ago, Neo4j Bloom™ was announced to the world. Today, I’m excited to announce that we’re bringing graph visualization and exploration to everyone using Neo4j – on any platform. (Neo4j Bloom) -→ (Everywhere) Bloom in Neo4j 4.0 With the release of our next-gen... read more

Editor’s Note: This presentation was given by Alessandro Svensson and Sarah Johnnesson at GraphConnect New York in September 2018. Presentation Summary Alessandro Svensson is the Head of Neo4j Innovation Labs within the U.S. He and Sarah Johnnesson of Previa discuss the impact of... read more

Financial fraud is growing and it is a costly problem, McKinsey, the fastest-growing type of first-party fraud is synthetic identity fraud. In synthetic identity fraud, the fraudster usually combines fake and real information to establish a credit record under a new, synthetic identity. This type... read more